2026 International Conference on Networks Computers and Communications (ICNCCom 2026)

As AI tools become more prevalent in both academic and everyday contexts, it is crucial to gain insight into students' perceptions of AI. This paper presents a secondary analysis of a public survey dataset comprising 460 undergraduate students from five universities in Ho Chi Minh City, Vietnam. The research focuses on the extent of use of AI, the most common purposes of use, and the attitude pattern from favorable and concern-oriented questionnaire items. To analyze data, descriptive statistics, reliability analysis, and ordinary least squares regression were used. The data indicates a high level of familiarity with AI, with 96.5% of respondents having used AI tools before. Learning appeared as the most frequently used, followed by working, entertainment and translation. The overall mean score was 3.26/5, with the favorable-attitude subscale at 3.43/5 and the reverse-coded concern subscale at 3.01/5. The results show a moderate yet skeptical attitude towards AI among the undergraduate students. The regression analysis also revealed that the age was negatively correlated with the overall attitude while year of study was positively correlated with the overall attitude, but with a low model explained variance. Overall, the results indicate that undergraduate perspectives on AI are a mix of hope and worry, underscoring the need for greater awareness, criticality, and responsibility around AI interactions in the university setting.

—artificial intelligence, undergraduate students, higher education, attitudes toward AI, survey analysis, educational technology.